Linear models can be extended to include more than one independent variable, and the equation becomes:

\(\color{red}{y{i} = a + \beta_{1} \times X_{1} + \beta_{2} \times X_{2} + … + \beta_{n} \times X_{n}}\)

Where \(Y\) is the dependent variable,

\(X_{1}\), \(X_{2}\), …, \(X_{n}\) are the independent variables,

\(\alpha\) is the intercept,

and \(\beta_{1}\), \(\beta_{2}\), …, \(\beta_{n}\) are the slopes of the respective variables.

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